Correlation of Indoor Accelerated Corrosion with Outdoor Exposure for Corten-A Weathering Steel in Polluted Marine Atmospheric Environments

doi:10.11902/1005.4537.2019.229

Journal of Chinese Society for Corrosion and protection

2019, Vol. 39

Issue (6): 519-526 DOI: 10.11902/1005.4537.2019.229

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Correlation of Indoor Accelerated Corrosion with Outdoor Exposure for Corten-A Weathering Steel in Polluted Marine Atmospheric Environments

FENG Yali¹,BAI Ziheng¹,CHEN Lihong¹,WEI Dan²,ZHANG Dongjiu³,YAO Qiong³,WU Junsheng¹,DONG Chaofang¹,XIAO Kui¹(

)

1. Corrosion and Protection Center, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China
2. Service Center for Societies, China Association for Science and Technology, Beijing 100081, China
3. Xichang Satelite Lauch Center Key Laboratory of Space Lauching Site Reliability Technology, Haikou 571000, China

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Abstract

The corrosion behavior of Corten-A weathering steel in two polluted marine atmospheric environments at coastal cities Qingdao and Wanning was simulated by cyclic immersion accelerated test. The corrosion kinetics, corrosion morphology, corrosion products and the correlation between results acquired form the accelerated corrosion test and the outdoors exposure test were studied by weight-loss method, SEM technique, X-ray diffraction analysis, electrochemical measurement techniques and grey correlation analysis. The results showed that the corrosion degree of Corten-A steel increased first and then decreased with the increasing of NaCl concentration in the simulated solution, while the solution with 5% (mass fraction) NaCl presented the greatest corrosion effect on Corten-A steel. It follows that results of the indoor accelerated corrosion tests are well correlated with those of the outdoor exposure in natural marine atmospheric environments. Besides, models suitable to describe the corrosion process of Corten-A weathering steel in the simulated polluted marine atmospheric environments of Qingdao and Wanning were established respectively as: T_QD=251.214 t^0.718, T_WN=217.498 t^0.719.

Key words: Corten-A steel accelerated experiments polluted marine atmosphere correlation acceleration model

Received: 04 April 2019

ZTFLH:

TG172.3

Fund: National Key R&D Program of China(2017YFB0304602)

Corresponding Authors: Kui XIAO E-mail: xiaokui@ustb.edu.cn

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	Yali FENG
	Ziheng BAI
	Lihong CHEN
	Dan WEI
	Dongjiu ZHANG
	Qiong YAO
	Junsheng WU
	Chaofang DONG
	Kui XIAO

Cite this article:

FENG Yali,BAI Ziheng,CHEN Lihong,WEI Dan,ZHANG Dongjiu,YAO Qiong,WU Junsheng,DONG Chaofang,XIAO Kui. Correlation of Indoor Accelerated Corrosion with Outdoor Exposure for Corten-A Weathering Steel in Polluted Marine Atmospheric Environments. Journal of Chinese Society for Corrosion and protection, 2019, 39(6): 519-526.

URL:

https://www.jcscp.org/EN/10.11902/1005.4537.2019.229 OR https://www.jcscp.org/EN/Y2019/V39/I6/519

Fig.1 Fitting mass loss curves of samples corroded by cyclic immersion experiment in different concen-tration simulated solutions

Table 1 Relevant parameters of fitting curves

Fig.2 SEM images of samples corroded in simulated solutions of 1% (a1, a2), 3.5% (b1, b2) and 5% (c1, c2) NaCl ratios for (a1~c1) 192 h and (a2~c2) 720 h

Fig.3 XRD spectra of corrosion products of samples corroded by cyclic immersion experiment in the simulated solution of 3.5%NaCl+NaHSO₃ for 96 and 360 h

Fig.4 Polarization curves of samples in different simul-ated solutions

Table 2 Statistic of corrosion mass loss in Qingdao (mass loss / (g·m^-2))

Table 3 Statistic of corrosion mass loss in Wanning (mass loss / (g·m^-2))

Table 4 Pretreatment results of corrosion mass loss in Qingdao

Table 5 Pretreatment results of corrosion mass loss in Wanning

Table 6 Absolute difference of corrosion mass loss in Qingdao

Table 7 Absolute difference of corrosion mass loss in Wanning

Table 8 Grey correlation of atmospheric exposure experiments and accelerated experiments

Fig.5 Grey correlation degree and acceleration ratio of Qingdao in different simulated solutions

Fig.6 Grey correlation degree and acceleration ratio of Wanning in different simulated solutions

Table 9 Time of accelerated experiment indoors predicted by model of Corten-A steel's corrosion in Qingdao and Wanning

[1]	Wang Z F, Wu L X, Sun Y Q, et al. Structure and formation mechanism of rust scales on 09CuPCrNi weathering steel in wet-dry cyclic corrosion [J]. Corros. Prot., 2012, 33: 110
[1]	(王志奋, 吴立新, 孙宜强等. 09CuPCrNi耐候钢干湿交替加速腐蚀的锈层结构与形成机理 [J]. 腐蚀与防护, 2012, 33: 110)
[2]	Yu Q. Review and prospect of weathering steel [J]. J. Iron Steel Res., 2007, 19(11): 1
[2]	(于千. 耐候钢发展现状及展望 [J]. 钢铁研究学报, 2007, 19 (11): 1)
[3]	Xia X M, Xing L K, Song H Q, et al. Corrosion resistance of weathering steels in simulated South China Sea atmospheric environment [J]. Equip. Environ. Eng., 2018, 15(3): 39
[3]	(夏昕鸣, 邢路阔, 宋泓清等. 模拟南海大气环境下耐候钢腐蚀性能研究 [J]. 装备环境工程, 2018, 15(3): 39)
[4]	Li X G. Introduction to Corrosion and Protection of Materials [M]. 2nd Ed. Beijing: Mechanical Industry Press, 2017: 130
[4]	(李晓刚. 材料腐蚀与防护概论 [M]. 第2版. 北京: 机械工业出版社, 2017: 130)
[5]	Luo H, Dong C F, Xiao K, et al. Characterization of passive film on 2205 duplex stainless steel in sodium thiosulphate solution [J]. Appl. Surf. Sci., 2011, 258: 631
[6]	Zhu F, Persson D, Thierry D, et al. Formation of corrosion products on open and confined zinc surfaces exposed to periodic wet/dry conditions [J]. Corrosion, 2000, 56: 1256
[7]	Lin C, Wang F P, Li X G. The progress of research methods on atmospheric corrosion [J]. J. Chin. Soc. Corros. Prot., 2004, 24: 250
[7]	(林翠, 王凤平, 李晓刚. 大气腐蚀研究方法进展 [J]. 中国腐蚀与防护学报, 2004, 24: 250)
[8]	Dra?i? D M, Va??i? V. The correlation between accelerated laboratory corrosion tests and atmospheric corrosion station tests on steels [J]. Corros. Sci., 1989, 29: 1197
[9]	Wang X, Xiao K, Cheng X Q, et al. Corrosion prediction model of Q235 steel in polluted marine atmospheric environment [J]. J. Mater. Eng., 2017, 45(4): 51
[9]	(王旭, 肖葵, 程学群等. Q235钢的污染海洋大气环境腐蚀寿命预测模型 [J]. 材料工程, 2017, 45(4): 51)
[10]	Li X G, Xiao K, Dong C F, et al. Corrosion mechanisms and classification in marine atmosphere of China [A]. Proceedings of the 2014 conferences on Corrosion and Protection of Marine Materials [C]. Beijing, 2014: 7
[10]	(李晓刚, 肖葵, 董超芳等. 我国海洋大气腐蚀分级分类与机理 [A]. 2014海洋材料腐蚀与防护大会论文集 [C]. 北京, 2014: 7)
[11]	Li D L, Fu G Q, Zhu M Y. Corrosion characteristics of low-carbon steel in hot and humid industrial—marine atmosphere [J]. Chin. J. Eng., 2017, 39: 739
[11]	(李东亮, 付贵勤, 朱苗勇. 低碳钢在湿热工业海洋大气中的腐蚀特征 [J]. 工程科学学报, 2017, 39: 739)
[12]	Pan X D, Wang X M. Control of chloride ions in circulating water and influence on stainless steel corrosion [J]. Ind. Water Treat., 2013, 33(3): 14
[12]	(潘旭东, 王向明. 循环水中氯离子控制及对不锈钢腐蚀机理探讨 [J]. 工业水处理, 2013, 33(3): 14)
[13]	You M R, Jin P, Tan X M, et al. Effects of temperature and chloride ion concentration on corrosion rate of 30CrMnSiNiA [J]. Equip. Environ. Eng., 2017, 14(9): 93
[13]	(游明锐, 金平, 谭晓明等. 温度和氯离子浓度对30CrMnSiNiA腐蚀速率的影响研究 [J]. 装备环境工程, 2017, 14(9): 93)
[14]	Yu Q C, Wang Z Y, Wang C. Corrosion behaviors of low alloy steel and carbon steel deposited with NaCl and NaHSO3 under dry/humid alternative conditions [J]. Acta Metall. Sin., 2010, 46: 1133
[14]	(于全成, 王振尧, 汪川. 表面沉积NaCl和NaHSO3的低合金钢和碳钢在干湿交替条件下的腐蚀行为 [J]. 金属学报, 2010, 46: 1133)
[15]	Song L Y, Shi H, Wang W, et al. Effects of corrosion products on atmospheric corrosion of metal [J]. Equip. Environ. Eng., 2018, 15(10): 8
[15]	(宋立英, 石浩, 王巍等. 腐蚀产物性质对金属大气腐蚀过程影响的研究 [J]. 装备环境工程, 2018, 15(10): 8)
[16]	Liu G C, Dong J H, Han E-H, et al. Progress in research on rust layer of weathering steel [J]. Corros. Sci. Prot. Technol., 2006, 18: 268
[16]	(刘国超, 董俊华, 韩恩厚等. 耐候钢锈层研究进展 [J]. 腐蚀科学与防护技术, 2006, 18: 268)
[17]	Wang X. Accelerated test and life prediction of structural steels in different marine atmosphere [D]. Beijing: University of Science and Technology Beijing, 2015
[17]	(王旭. 结构钢在不同海洋大气环境下的加速试验及寿命预测 [D]. 北京: 北京科技大学, 2015)
[18]	Yamashita M, Konishi H, Kozakura T, et al. In situ observation of initial rust formation process on carbon steel under Na2SO4 and NaCl solution films with wet/dry cycles using synchrotron radiation X-rays [J]. Corros. Sci., 2005, 47: 2492
[19]	Evans U R. The Corrosion and Oxidation of Metals: First Supplementary Volume [M]. New York: St Martin’s Press, 1968: 197
[20]	Matsushima I, Ueno T. On the protective nature of atmosph rust on low-alloy steel [J]. Corros. Sci., 1971, 11: 129
[21]	Moutarlier V, Gigandet M P, Normand B, et al. EIS characterisation of anodic films formed on 2024 aluminium alloy, in sulphuric acid containing molybdate or permanganate species [J]. Corros. Sci., 2005, 47: 937
[22]	Liu H X, Cheng X Q, Li X G, et al. Prediction model for corrosion of aluminum 1060 in marine atmospheric environments [J]. J. Chin. Soc. Corros. Prot., 2016, 36: 349
[22]	(刘海霞, 程学群, 李晓刚等. A1060纯Al的海洋大气环境腐蚀寿命预测模型研究 [J]. 中国腐蚀与防护学报, 2016, 36: 349)

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